High Degree Cubature Federated Filter for Multisensor Information Fusion with Correlated Noises
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper proposes an improved high degree cubature federated filter for the nonlinear fusion system with cross-correlation between process and measurement noises at the same time using the fifth-degree cubature rule and the decorrelated principle in its local filters.
The master filter of the federated filter adopts the no-reset mode to fuse local estimates of local filters to generate a global estimate according to the scalar weighted rule.
The air-traffic maneuvering target tracking simulations are performed between the proposed filter and the fifth-degree cubature federated filter.
Simulations results demonstrate that the proposed filter not only can achieve almost the same accuracy as the fifth-degree cubature federated filter with independent white noises, but also has superior performance to the fifth-degree cubature federated filter while the noises are cross-correlated at the same time.
American Psychological Association (APA)
Wang, Lijun& Wang, Sisi. 2016. High Degree Cubature Federated Filter for Multisensor Information Fusion with Correlated Noises. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1112293
Modern Language Association (MLA)
Wang, Lijun& Wang, Sisi. High Degree Cubature Federated Filter for Multisensor Information Fusion with Correlated Noises. Mathematical Problems in Engineering No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1112293
American Medical Association (AMA)
Wang, Lijun& Wang, Sisi. High Degree Cubature Federated Filter for Multisensor Information Fusion with Correlated Noises. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1112293
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112293